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# Founding Full-Stack Engineer

- **Company:** Recruiting from Scratch
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $190,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Automated Storage and Retrieval Systems, Business Software, Cyber Security, Databases, Data Systems, Data Warehousing, Graph Database, Information Retrieval, Search Technologies, Data Streaming, Systems Integration, Web Applications, AI Infrastructure, Enterprise Data Management, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, Data Layers, Event Driven Architecture, Kubernetes, Machine Learning Operations, Stream Processing, Data Pipelines, Automation Anywhere
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/founding-full-stack-engineer-ny--31a90441-6330-4547-8f1d-5c9f0a4b3d15

## About the Role

Startup, Funding, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Technical Research, Production Systems, Application Programming Interface (API), Computer Security, Information Retrieval, Data Modeling, * 3+ years of experience building and shipping production software systems.

 * Strong full-stack engineering capabilities with experience across backend systems, APIs, databases, and modern web applications.
 * Experience working with LLMs, retrieval systems, embeddings, vector databases, knowledge graphs, or related AI infrastructure.
 * Hands-on experience deploying machine learning systems in production, including evaluation, monitoring, and model lifecycle management.
 * Familiarity with LLM orchestration frameworks, agent architectures, or multi-agent systems.
 * Strong systems-thinking mindset with the ability to reason about complex data flows and business processes.
 * Experience operating in ambiguous, fast-moving startup environments.
 * Excellent communication skills and ability to work directly with customers and stakeholders.
 * High ownership mentality with a track record of independently driving projects from concept through deployment.

Preferred

 * Experience with enterprise data platforms, warehouses, or analytics ecosystems.
 * Familiarity with semantic layers, modern data stacks, and data modeling frameworks.
 * Experience building agentic workflows or orchestration systems.
 * Knowledge of graph databases, knowledge graphs, or semantic search systems.
 * Experience with real-time data pipelines, event-driven architectures, or streaming systems.
 * Background working on AI infrastructure, developer platforms, or enterprise SaaS products.
 * Previous startup experience as an early engineer or founding team member.
 * Experience building 01 products and shipping customer-facing features in rapidly evolving environments.

## Description

* Develop full-stack applications across backend infrastructure, APIs, data systems, and customer-facing interfaces.
 * Design and implement semantic query systems that enable AI agents to reason about business data beyond traditional database access patterns.
 * Build retrieval systems, knowledge infrastructure, and context management layers that support enterprise AI workflows.
 * Create self-improving data models and feedback systems that evolve alongside customer usage patterns.
 * Develop integrations across enterprise systems, data warehouses, CRMs, analytics platforms, and business applications.
 * Design and maintain APIs that translate natural language intent into structured, verifiable outcomes.
 * Partner directly with customers to understand complex business workflows and transform them into scalable platform capabilities.
 * Contribute to architecture decisions across product, infrastructure, and AI systems as an early member of the engineering team.
 * Ship quickly in a highly iterative environment while maintaining strong engineering standards.